The article discusses how AI benchmarks can reinforce existing theoretical assumptions, limiting the understanding of progress in the field. It introduces a new methodology, Epistematics, aimed at ensuring evaluation criteria align with actual capabilities rather than proxy behaviors, highlighting the need for more rigorous audit procedures in benchmark design.